Musculoskeletal modelling of muscle activation and applied external forces for the correction of scoliosis

Hdl Handle:
http://hdl.handle.net/10147/315818
Title:
Musculoskeletal modelling of muscle activation and applied external forces for the correction of scoliosis
Authors:
Curtin, Maurice; Lowery, Madeleine M
Citation:
Journal of NeuroEngineering and Rehabilitation. 2014 Apr 07;11(1):52
Issue Date:
7-Apr-2014
URI:
http://dx.doi.org/10.1186/1743-0003-11-52; http://hdl.handle.net/10147/315818
Abstract:
Abstract Background This study uses biomechanical modelling and computational optimization to investigate muscle activation in combination with applied external forces as a treatment for scoliosis. Bracing, which incorporates applied external forces, is the most popular non surgical treatment for scoliosis. Non surgical treatments which make use of muscle activation include electrical stimulation, postural control, and therapeutic exercises. Electrical stimulation has been largely dismissed as a viable treatment for scoliosis, although previous studies have suggested that it can potentially deliver similarly effective corrective forces to the spine as bracing. Methods The potential of muscle activation for scoliosis correction was investigated over different curvatures both with and without the addition of externally applied forces. The five King’s classifications of scoliosis were investigated over a range of Cobb angles. A biomechanical model of the spine was used to represent various scoliotic curvatures. Optimization was applied to the model to reduce the curves using combinations of both deep and superficial muscle activation and applied external forces. Results Simulating applied external forces in combination with muscle activation at low Cobb angles (< 20 degrees) over the 5 King’s classifications, it was possible to reduce the magnitude of the curve by up to 85% for classification 4, 75% for classifications 3 and 5, 65% for classification 2, and 60% for classification 1. The reduction in curvature was less at larger Cobb angles. For King’s classifications 1 and 2, the serratus, latissimus dorsi, and trapezius muscles were consistently recruited by the optimization algorithm for activation across all Cobb angles. When muscle activation and external forces were applied in combination, lower levels of muscle activation or less external force was required to reduce the curvature of the spine, when compared with either muscle activation or external force applied in isolation. Conclusions The results of this study suggest that activation of superficial and deep muscles may be effective in reducing spinal curvature at low Cobb angles when muscle groups are selected for activation based on the curve type. The findings further suggest the potential for a hybrid treatment involving combined muscle activation and applied external forces at larger Cobb angles.
Language:
en
Keywords:
MUSCULOSKELETAL DISORDERS

Full metadata record

DC FieldValue Language
dc.contributor.authorCurtin, Mauriceen_GB
dc.contributor.authorLowery, Madeleine Men_GB
dc.date.accessioned2014-04-14T15:29:34Z-
dc.date.available2014-04-14T15:29:34Z-
dc.date.issued2014-04-07-
dc.identifier.citationJournal of NeuroEngineering and Rehabilitation. 2014 Apr 07;11(1):52en_GB
dc.identifier.urihttp://dx.doi.org/10.1186/1743-0003-11-52-
dc.identifier.urihttp://hdl.handle.net/10147/315818-
dc.description.abstractAbstract Background This study uses biomechanical modelling and computational optimization to investigate muscle activation in combination with applied external forces as a treatment for scoliosis. Bracing, which incorporates applied external forces, is the most popular non surgical treatment for scoliosis. Non surgical treatments which make use of muscle activation include electrical stimulation, postural control, and therapeutic exercises. Electrical stimulation has been largely dismissed as a viable treatment for scoliosis, although previous studies have suggested that it can potentially deliver similarly effective corrective forces to the spine as bracing. Methods The potential of muscle activation for scoliosis correction was investigated over different curvatures both with and without the addition of externally applied forces. The five King’s classifications of scoliosis were investigated over a range of Cobb angles. A biomechanical model of the spine was used to represent various scoliotic curvatures. Optimization was applied to the model to reduce the curves using combinations of both deep and superficial muscle activation and applied external forces. Results Simulating applied external forces in combination with muscle activation at low Cobb angles (< 20 degrees) over the 5 King’s classifications, it was possible to reduce the magnitude of the curve by up to 85% for classification 4, 75% for classifications 3 and 5, 65% for classification 2, and 60% for classification 1. The reduction in curvature was less at larger Cobb angles. For King’s classifications 1 and 2, the serratus, latissimus dorsi, and trapezius muscles were consistently recruited by the optimization algorithm for activation across all Cobb angles. When muscle activation and external forces were applied in combination, lower levels of muscle activation or less external force was required to reduce the curvature of the spine, when compared with either muscle activation or external force applied in isolation. Conclusions The results of this study suggest that activation of superficial and deep muscles may be effective in reducing spinal curvature at low Cobb angles when muscle groups are selected for activation based on the curve type. The findings further suggest the potential for a hybrid treatment involving combined muscle activation and applied external forces at larger Cobb angles.-
dc.language.isoenen
dc.subjectMUSCULOSKELETAL DISORDERSen_GB
dc.titleMusculoskeletal modelling of muscle activation and applied external forces for the correction of scoliosisen_GB
dc.language.rfc3066en-
dc.rights.holderMaurice Curtin et al.; licensee BioMed Central Ltd.-
dc.description.statusPeer Reviewed-
dc.date.updated2014-04-14T11:08:38Z-
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